Title :
A new algorithm of face detection based on differential images and PCA in color image
Author :
Xu Yan ; Chen Xiaowei
Author_Institution :
Collage Of Inf., Linyi Normal Univ., Linyi, China
Abstract :
In this paper, a new algorithm of face detection based on differential images and PCA in color image is proposed which modified the eigenface technique. First, skin picking-up is carried out by color analysis of an image. Then, for finding the exact positions of faces, a finer matching is performed by eigenface in these detected fields and a mosaic template is used to suppress the false face. Considering the correlation between the pixels in a face image, the PCA method is performed both on the raw image and on its horizontal differential image and vertical differential image for feature extraction. And then the stability of the face detection is improved.
Keywords :
feature extraction; image colour analysis; image segmentation; object detection; principal component analysis; PCA; eigenface technique; face detection algorithm; feature extraction; horizontal differential image; image color analysis; mosaic template; principal component analysis; vertical differential image; Color; Face detection; Facial features; Humans; Image segmentation; Pixel; Principal component analysis; Skin; Space technology; Stability; differential image; eigenface; face detection; skin model;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234380
